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  Comparative evaluation of Independent Components Analysis algorithms for isolating target-relevant information in brain-signal classification

Hill, N., Schröder, M., Lal, T., & Schölkopf, B. (2005). Comparative evaluation of Independent Components Analysis algorithms for isolating target-relevant information in brain-signal classification. Poster presented at Third International Meeting on Brain–Computer Interface Technology (BCI 2005): Making a Difference, Rensselaerville, NY, USA.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-D543-4 Version Permalink: https://hdl.handle.net/21.11116/0000-0005-3DB0-0
Genre: Poster

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BCI-2005-Hill.pdf (Abstract), 300KB
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 Creators:
Hill, NJ1, 2, Author           
Schröder, M, Author           
Lal, TN1, 2, Author           
Schölkopf, B1, 2, Author           
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1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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 Dates: 2005-06
 Publication Status: Published online
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 Identifiers: BibTex Citekey: 4038
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Title: Third International Meeting on Brain–Computer Interface Technology (BCI 2005): Making a Difference
Place of Event: Rensselaerville, NY, USA
Start-/End Date: 2005-06-14 - 2005-06-19

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Title: Third International Meeting on Brain–Computer Interface Technology (BCI 2005): Making a Difference
Source Genre: Proceedings
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